clothing
Automated Assembly Line Production Solution for the Garment Industry
I. Analysis of Industry Status Quo and Pain Points
In the context of increasingly fierce competition in the global garment market, consumer demands have become more diversified and personalized, prompting garment industry orders to show characteristics of small batches, multiple batches, and short delivery times. The traditional garment production mode mainly relies on manual operations and faces many challenges.
- Low production efficiency: The connection between various production links is not smooth, and material handling and process conversion take a long time. For example, in traditional workshops, fabric handling losses account for 12% of production costs. The speed of manual operations by workers is limited and is easily affected by factors such as fatigue and emotions, making it difficult to meet the rapidly growing market demand.
- High labor costs: Garment production is a labor-intensive industry and relies on a large number of skilled workers. However, the current labor market is in short supply, labor costs continue to rise, and it is increasingly difficult to recruit workers. Training a skilled garment worker requires a long time and high costs, and the high mobility of workers brings difficulties to the stable production of enterprises.
- Unstable product quality: There are individual differences in manual operations. Different workers have different skill levels and operating habits, resulting in uneven product quality. In some complex processes, such as precision sewing and cutting, the accuracy of manual operations is difficult to guarantee, and the defective rate is relatively high, which affects the corporate brand image and market competitiveness.
- Difficulties in inventory management: Due to inaccurate prediction of market demand, long production cycles, and poor flexibility, it is difficult for enterprises to accurately control inventory levels. Overstocked inventory occupies a lot of funds and warehouse space, while out-of-stock situations will lead to the loss of customer orders, bringing huge pressure to enterprise operations.
II. Advantages of Automated Assembly Line Production
- Improve production efficiency: The automated assembly line decomposes the production process into multiple standardized processes, with each process operating in parallel. Through automated equipment and intelligent control systems, it realizes rapid and accurate transmission and processing of materials, significantly shortening the production cycle. For example, an automatic cutting bed can complete precise cutting of 200 layers of fabric in 29 seconds, which is 17 times more efficient than traditional electric scissors. The intelligent hanging system can enable a finished garment to go from hanging to offline in only 2 hours, effectively improving production efficiency.
- Reduce labor costs: A large number of repetitive and high-intensity tasks are undertaken by automated equipment, reducing reliance on manual labor. Taking Kuangbo Intelligent Manufacturing's woven shirt linkage production line as an example, 43 traditional processes are reconstructed through 11 linkage modules, reducing the labor demand from 32 to 14.5, and saving more than 70% of labor costs. At the same time, it reduces the labor intensity of workers, reduces the number of workers employed, and alleviates the problem of recruitment.
- Improve the stability of product quality: Automated equipment produces according to preset procedures and parameters, which can ensure the quality consistency and accuracy of each product. In the sewing process, intelligent sewing machines can automatically adjust parameters such as stitch length, stitch type, etc. according to fabric characteristics and style requirements, effectively reducing the defective rate and improving the overall quality of products.
- Optimize inventory management: Combined with automated assembly line production and information management systems, enterprises can grasp production progress, material consumption and other information in real time, and accurately arrange production according to order requirements, realizing production based on sales, reducing the risk of inventory backlogs, and improving capital turnover rate.
III. Overall Solution for Automated Assembly Line Production
- Intelligent Warehousing and Material Distribution System
- Automated Stereoscopic Warehouse: High-rise shelves are used to store fabrics and accessories, and automated equipment such as stackers and shuttle cars are used to realize rapid access to goods. Barcode, RFID and other technologies are used for precise positioning and information management of goods, improving warehouse space utilization and inventory management accuracy. For example, the three-dimensional warehouse of Jinding Intelligent Manufacturing has a height of about 9 meters, which increases the storage capacity by more than 30% compared with conventional warehouses, and the access efficiency is 2 to 3 times higher than that of traditional forklifts.
- AGV Material Distribution System: AGV (Automated Guided Vehicle) automatically transports required materials from the warehouse to each production workstation according to production instructions. Through the path planning and scheduling system, efficient collaborative operation between AGVs is realized, avoiding collisions and congestion, ensuring timely and accurate material distribution, and reducing manual handling costs and time.
- Intelligent Cutting System
- Automatic Cutting Bed: Equipped with high-precision cutting tools and intelligent nesting software, it can automatically optimize nesting according to garment styles and fabric characteristics to improve fabric utilization. For example, some advanced automatic cutting beds use laser cutting, water jet cutting and other technologies, which can realize precise cutting of various complex-shaped pieces and reduce fabric loss.
- Automatic Sorting and Transmission of Cut Pieces: After the cutting of cut pieces is completed, the automatic sorting system classifies them according to the number, style, size and other information of the cut pieces, and quickly and accurately conveys the cut pieces to the corresponding workstations in the sewing link through conveyor belts or suspension systems, improving production flow efficiency.
- Intelligent Sewing System
- Intelligent Sewing Machine: Integrating advanced sensing technology, control system and artificial intelligence algorithms, it can automatically identify fabric thickness and texture, and adjust sewing parameters such as stitch length, stitch type, and sewing speed to ensure stable sewing quality. Some intelligent sewing machines also have functions such as automatic thread changing, thread breakage detection and automatic repair, reducing downtime and improving production efficiency. For example, Jack Technology's intelligent sewing machine "Kuai Fan Wang" incorporates AI technology, which increases the comprehensive efficiency of the sewing machine by 5%. It sold 500,000 units in one year, was exported to 170 countries, and had a market share of 45%.
- Automation of Sewing Units: Combine multiple intelligent sewing machines with auxiliary equipment into an automated sewing unit to realize the streamlined production of specific parts or the entire garment. For example, Kuangbo Intelligent Manufacturing's woven shirt linkage production line integrates 8 sets of intelligent equipment and 23 processes, and uses 134 national authorized patent technologies to realize 75% of shirt process automation production, which greatly reduces the dependence of traditional shirt production on skilled workers.
- Intelligent Hanging System: An intelligent hanging system is built in the sewing workshop, connecting each sewing workstation through rails. The cut pieces are hung on the hangers and automatically flow between workstations according to the production process. After the workers complete the process, they only need to push the hangers to the next workstation, and the system automatically records the production data and progress. This system can effectively reduce the backlog of semi-finished products, improve the visualization of production, and facilitate production management and scheduling. For example, the full-process intelligent hanging system of Jinding Intelligent Manufacturing has a high-speed main rail length of 90 meters, which can meet the production capacity and speed of 8 production lines, connect all links, and greatly improve production efficiency.
- Intelligent Finishing and Packaging System
- Ironing Automation: Automatic ironing equipment is used to automatically adjust parameters such as temperature, pressure, and time according to garment styles and fabric requirements, realizing efficient and precise ironing of finished garments and improving the appearance quality of garments. Some ironing equipment also have automatic conveying and folding functions, which are seamlessly connected with the subsequent packaging link.
- Automatic Sorting and Packaging: Using visual recognition technology and automated equipment, the finished garments after ironing are automatically sorted according to style, size, color, etc., and automatically folded and packaged. Through the automatic packaging assembly line, the automatic supply, sealing, labeling and other operations of packaging materials are realized, improving packaging efficiency and quality, and reducing labor costs.
- Information Management System
- Enterprise Resource Planning (ERP) System: Integrates the core business processes of the enterprise such as finance, procurement, sales, and production to realize centralized management and sharing of data. Through the ERP system, enterprise management can grasp the operation status of the enterprise in real time, make scientific decisions, and optimize resource allocation.
- Manufacturing Execution System (MES): Monitors and manages the production process in real time, including functions such as production planning and scheduling, production progress tracking, quality management, and equipment management. The MES system is deeply integrated with automated equipment to realize automatic collection and analysis of production data, timely detect problems in the production process and make adjustments to ensure the smooth progress of the production process.
- Supply Chain Management (SCM) System: Realizes information sharing and cooperative cooperation between enterprises and suppliers and distributors, and optimizes supply chain processes. Through the SCM system, enterprises can keep abreast of raw material supply and order delivery progress, improve the response speed and flexibility of the supply chain, and reduce procurement costs and inventory risks.
IV. Implementation Cases and Effects
- Jinding Intelligent Manufacturing: In the process of digital transformation, the enterprise built a new industrial park and planned the layout of a digital factory. Through independent research and development and cooperation with suppliers, a complete digital production management system was built. The introduction of AGV robot matrix broke the industry curse that fabric handling loss accounts for 12% of production costs, and the handling efficiency increased by 300%. In the digital cutting center, the efficiency of the automatic cutting bed is 17 times higher than that of the traditional electric scissors. The turnover time of cut pieces to finished garments from the original 3 days across floors was shortened to 0.5 - 2 hours to complete the first offline. The daily output of the factory has increased from 30,000 pieces to 100,000 pieces, and the annual output has increased from 10 million pieces in the past to 20 - 25 million pieces. The labor efficiency has increased by 30%, and the delivery cycle has been shortened by 40%.
- Kuangbo Intelligent Manufacturing: Independently developed fabric single-layer grabbing technology to overcome the worldwide problem of soft fabric layering. Its woven shirt linkage production line reduced the labor demand from 32 to 14.5, saved more than 70% of labor costs, and increased labor efficiency by 54%. The four-in-one linkage cuff workstation increased production capacity by 285%. The fully automatic barge rib collar machine pioneered the real bone-opening process, with a daily production capacity exceeding 1,000 pieces, and the operation training cycle was shortened from 3 months to 3 days. The production efficiency of the Polo shirt automatic sewing machine is increased by more than 2 - 3 times, and the labor cost is significantly reduced. In 2024, it won nearly 40 equipment orders in Sri Lanka at the German texprocess exhibition. In the same year, the intelligent workstation jointly launched with JUKI at the Japanese JIAM exhibition set a new industry record with a cuff production capacity of 80 pieces/hour.
V. Implementation Suggestions and Precautions
- Make a good preliminary plan: Before implementing automated assembly line production, enterprises need to conduct a comprehensive assessment of their own production processes, product characteristics, market demand, etc., and formulate a detailed automation transformation plan in combination with enterprise strategic goals. Clarify the selection and layout of automated equipment and the integration plan of information systems to ensure that the transformation project is in line with the actual situation of the enterprise.
- Strengthen personnel training: Automated assembly line production has changed the skill requirements for employees. Enterprises need to strengthen the training of employees to enable them to master the operation and maintenance skills of automated equipment and the use of information systems. Through training, improve employees' cognition and adaptability to new technologies and new models, and give full play to the advantages of automated assembly lines.
- Pay attention to system integration: The automated assembly line involves the collaborative work of multiple equipment and systems, and enterprises must attach great importance to system integration. Choose system integrators with rich experience and professional capabilities to ensure smooth data interaction and interface compatibility between automated equipment and information systems, and realize seamless connection and efficient operation of the production process.
- Continuous optimization and improvement: After the automated assembly line is put into use, enterprises should establish a continuous optimization mechanism. Through the analysis of production data, timely find problems in the production process, optimize and adjust equipment parameters, process flows, and management modes, and continuously improve production efficiency and product quality, and reduce production costs.
- Ensure capital investment: The automated assembly line production transformation project usually requires a large capital investment. Enterprises should reasonably arrange the capital budget to ensure the smooth implementation of the project. At the same time, full consideration should be given to the return on investment of the project, and the economic and social benefits brought by the automation transformation should be evaluated through cost-benefit analysis to provide a basis for enterprise decision-making.
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